Copenhague / Graduate / Number of vacancies: 2 You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and providing quantitative support to business and R&D projects. Requirements Recent graduates or final year students. Desirable knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools/platforms (Hadoop, Hive, etc.). Solid academic record. Postgraduate studies or specialized courses in Data Science, Quantitative Finance, or related fields are an asset. Knowledge of additional languages is desirable. Proactive attitude, maturity, responsibility, and strong work ethic. Ability to learn quickly. Ability to integrate into multidisciplinary teams easily. We Offer The best environment to develop your talent: Participation in high-profile consulting projects for large companies and market leaders. Collaboration with top industry management facing national and global challenges. Part of an extraordinary team with values and culture benchmarked in the industry. Ongoing training plan, with approximately 10% of business turnover invested in training, including specialist courses, external expert courses, professional skills, and language courses. Last year, our staff received over 330,000 hours of training across more than 150 courses. Clear career path with internal promotion based on merit and a partnership-based management model offering opportunities to become a partner. Additional Experiences University collaborations with prestigious institutions. Community support activities organized by the firm. Internal and external sports tournaments. For more information, visit www.managementsolutions.com . We are committed to equal opportunities. All qualified applicants are considered regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or other protected characteristics. #J-18808-Ljbffr